most citedGNN-Surrogate: A Hierarchical and Adaptive Graph Neural Network for Parameter Space Exploration of Unstructured-Mesh Ocean Simulations

1 citations · 1 across the 2 of their papers we have counts for

collaborators
Showing physics.ao-phShow all

1 paper · 1 filter

physics.ao-ph2022★ 1 cited

GNN-Surrogate: A Hierarchical and Adaptive Graph Neural Network for Parameter Space Exploration of Unstructured-Mesh Ocean Simulations

Neng Shi, Jiayi Xu, Skylar W. Wurster +4

We propose GNN-Surrogate, a graph neural network-based surrogate model to explore the parameter space of ocean climate simulations. Parameter space exploration is important for dom…